MBE Advance Access originally published online on December 19, 2005
Molecular Biology and Evolution 2006 23(3):691-700; doi:10.1093/molbev/msj079
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Research Article |
Accuracy of Coalescent Likelihood Estimates: Do We Need More Sites, More Sequences, or More Loci?
Department of Genome Sciences and Department of Biology, University of Washington, Seattle
E-mail: joe{at}gs.washington.edu.
A computer simulation study has been made of the accuracy of estimates of 
= 4Neµ from a sample from a single isolated population of finite size. The accuracies turn out to be well predicted by a formula developed by Fu and Li, who used optimistic assumptions. Their formulas are restated in terms of accuracy, defined here as the reciprocal of the squared coefficient of variation. This should be proportional to sample size when the entities sampled provide independent information. Using these formulas for accuracy, the sampling strategy for estimation of can be investigated. Two models for cost have been used, a cost-per-base model and a cost-per-read model. The former would lead us to prefer to have a very large number of loci, each one base long. The latter, which is more realistic, causes us to prefer to have one read per locus and an optimum sample size which declines as costs of sampling organisms increase. For realistic values, the optimum sample size is 8 or fewer individuals. This is quite close to the results obtained by Pluzhnikov and Donnelly for a cost-per-base model, evaluating other estimators of . It can be understood by considering that the resources spent collecting larger samples prevent us from considering more loci. An examination of the efficiency of Watterson's estimator of was also made, and it was found to be reasonably efficient when the number of mutants per generation in the sequence in the whole population is less than 2.5.
Key Words: coalescent • maximum likelihood • population size • sampling design
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